Human tissue kallikrein 9: production of recombinant proteins and specific antibodies
Bibliographic record
Abstract
Human tissue kallikreins (genes, KLKs; proteins, hKs) are a subgroup of hormonally regulated serine proteases. Two tissue kallikreins, namely hK2 and hK3 (prostate-specific antigen, PSA), are currently used as serological biomarkers of prostate cancer. Human tissue kallikrein 9 (KLK9) is a newly identified member of the tissue kallikrein gene family. Recent reports have indicated that KLK9 mRNA is differentially expressed in ovarian and breast cancer and has prognostic value. Here, we report the production of recombinant hK9 (classic form) using prokaryotic and mammalian cells and the generation of polyclonal antibodies. Total testis tissue mRNA was reverse-transcribed to cDNA, amplified, cloned into a pET/200 TOPO plasmid vector, and transformed into E. coli cells. hK9 was purified and used as an immunogen to generate polyclonal antibodies. Full-length KLK9 cDNA was also cloned in the vector pcDNA3.1 and was expressed in CHO cells. The identity of hK9 was confirmed by mass spectrometry. hK9 rabbit antiserum displayed no cross-reactivity with other tissue kallikreins and could specifically recognize E. coli- and CHO-derived hK9 on Western blots. hK9 was mainly detected in testis and seminal vesicles by Western blotting. The reagents generated here will help to define the physiological role of this tissue kallikrein and its involvement in human disease.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".